To check out this repository please hg clone the following URL, or open the URL using EasyMercurial or your preferred Mercurial client.

Statistics Download as Zip
| Branch: | Revision:

root / _FullBNT / BNT / CPDs / @hhmmQ_CPD / Old / update_ess3.m @ 8:b5b38998ef3b

History | View | Annotate | Download (2.54 KB)

1
function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, hidden_bitv)
2
% UPDATE_ESS Update the Expected Sufficient Statistics of a hhmm Q node.
3
% function CPD = update_ess(CPD, fmarginal, evidence, ns, cnodes, idden_bitv)
4
%
5
% we assume if one of the Qps is observed, all of them are 
6
% We assume the F nodes are already hidden 
7

    
8
% Figure out the node numbers associated with each parent
9
dom = fmarginal.domain;
10
self = dom(CPD.self_ndx);
11
old_self = dom(CPD.old_self_ndx);
12
%Fself = dom(CPD.Fself_ndx);
13
%Fbelow = dom(CPD.Fbelow_ndx);
14
Qps = dom(CPD.Qps_ndx);
15

    
16
Qsz = CPD.Qsz;
17
Qpsz = CPD.Qpsz;
18

    
19

    
20
% hor_counts(old_self, Qps, self),
21
% fmarginal(old_self, Fbelow, Fself, Qps, self)
22
% hor_counts(i,k,j) = fmarginal(i,2,1,k,j) % below has finished, self has not
23
% ver_counts(i,k,j) = fmarginal(i,2,2,k,j) % below has finished, and so has self (reset)
24
% Since any of i,j,k may be observed, we write
25
% hor_counts(ndx{:}) = fmarginal(...)
26
% where e.g., ndx = {1, ':', 2} if Qps is hidden but we observe old_self=1, self=2.
27

    
28
% ndx{i,k,j}
29
if hidden_bitv(old_self)
30
  ndx{1} = ':';
31
else
32
  ndx{1} = evidence{old_self};
33
end
34
if hidden_bitv(Qps)
35
  ndx{2} = ':';
36
else
37
  ndx{2} = subv2ind(Qpsz, cat(1, evidence{Qps}));
38
end
39
if hidden_bitv(self)
40
  ndx{3} = ':';
41
else
42
  ndx{3} = evidence{self};
43
end
44

    
45
fmarg = add_ev_to_dmarginal(fmarginal, evidence, ns);
46
% marg(Qold(t-1), Fbelow(t-1), Fself(t-1), Qps(t), Qself(t))                            
47
hor_counts = zeros(Qsz, Qpsz, Qsz);
48
ver_counts = zeros(Qpsz, Qsz);
49
    
50
if ~isempty(CPD.Fbelow_ndx)
51
  if ~isempty(CPD.Fself_ndx) % general case
52
    fmarg.T = myreshape(fmarg.T, [Qsz 2 2 Qpsz Qsz]);
53
    marg_ndx = {ndx{1}, 2, 1, ndx{2}, ndx{3}};
54
    hor_counts(ndx{:}) = fmarg.T(marg_ndx{:});
55
    ver_counts(ndx{2:3}) = ... % sum over Fbelow and Qold=i
56
	sum(fmarg.T({ndx{1}, 1, 2, ndx{2}, ndx{3}}),1) + ..
57
	sum(fmarg.T({ndx{1}, 2, 2, ndx{2}, ndx{3}}),1);
58
  else % no F from self, hence no startprob
59
    fmarg.T = myreshape(fmarg.T, [Qsz 2 Qpsz Qsz]);
60
    hor_counts(ndx{:}) = fmarg.T({ndx{1}, 2, ndx{2}, ndx{3}});
61
  end
62
else % no F signal from below
63
  if ~isempty(CPD.Fself_ndx) % self F
64
    fmarg.T = myreshape(fmarg.T, [Qsz 2 Qpsz Qsz]);
65
    hor_counts(ndx{:}) = fmarg.T({ndx{1}, 1, ndx{2}, ndx{3}});
66
    ver_counts(ndx{2:3}) = ... % sum over Qold=i
67
	sum(fmarg.T({ndx{1}, 2, ndx{2}, ndx{3}}),1);
68
  else % no F from self
69
    error('An hhmmQ node without any F parents is just a tabular_CPD')
70
  end
71
end
72

    
73

    
74
CPD.sub_CPD_trans = update_ess_simple(CPD.sub_CPD_trans, hor_counts);
75

    
76
if ~isempty(CPD.sub_CPD_start)
77
  CPD.sub_CPD_start = update_ess_simple(CPD.sub_CPD_start, ver_counts);
78
end
79

    
80